Robin Marc Schmidt is a Master's student in computer science with a focus on machine learning at the University of Tübingen, Germany. He is currently writing his master thesis in the Explainable Machine Learning group jointly supervised by Prof. Zeynep Akata and Massimiliano Mancini. He received his bachelor's degree with honors in computer science from the University of Applied Sciences Stuttgart (DHBW Stuttgart) in cooperation with Eisenmann SE (2015-18). During that time, he worked with Prof. Olaf Herden and Prof. Antonius van Hoof.
 
Previously, he was also part of the Methods of Machine Learning group (MoML) of Prof. Philipp Hennig where he worked on Stochastic Optimization in Deep Learning with Frank Schneider (2019-20). He has also been an Extreme Blue intern at IBM in the past (2019).